In this paper. we present a methodology based on generative adversarial network architecture to generate synthetic data sets with the intention of augmenting continuous glucose monitor data from individual patients. We use these synthetic data with the aim of improving the overall performance of prediction models based on machine learning techniques. Experiments were performed on two ... https://www.roneverhart.com/Hot-Wheels-Ultimate-Octo-Car-Wash/